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Brand mention scan · GEO

Guinness vs Murphy's: what the LLMs actually say

Murphy's is having a year. UK value sales up 666%, total-trade volume up over 1,000%, its on-trade share doubled to 4.2% - the fastest-growing stout in Britain, riding the wake of the Guinness rationing crisis. But large language models were trained before most of that happened. So we asked a simple question: when ChatGPT, Perplexity and Gemini talk about Irish stout, have they noticed Murphy's yet - or is it still the Guinness show? We ran both brands through a Baseline mention scan to find out — the same method behind the Barry's vs Lyons tea scan and the Revolut vs Monzo banking scan.

George, the Baseline Labs mascot, raising a pint of stout for a toast

Guinness still owns the conversation

Across the LLM answers and the sources they cite, Guinness pulled 306 mentions to Murphy's 141 - roughly 2.2× the visibility. As of June 2026, the real-world momentum has not reached the models: Guinness is still the default answer to "what's a good stout," and Murphy's surge is, for now, invisible to them.

306
Guinness mentions
141
Murphy's mentions
2.2×
Guinness share-of-voice lead

But the underdog is better-liked

Here's the twist. Murphy's is mentioned far less - but when it is, the tone is warmer and cleaner. It edges Guinness on average sentiment and carries barely a third of the negativity. Guinness's ubiquity cuts both ways: more coverage, but also more criticism to absorb.

Metric (as of 19 Jun 2026)GuinnessMurphy's
Total mentions306141
Average sentiment+0.25+0.28
Positive50%47%
Neutral41%49%
Negative8.5%4.3%

The scan's analyst pass put numbers to why. Guinness's negatives are concrete and reputational - the Guinness 0.0 contamination recall scored −0.8 on the brand's own Twitter, and the 1990 fraud scandal still surfaces in high-authority coverage. Murphy's, with only six negative mentions in the whole scan, simply has not accumulated a critical narrative yet. There's less to say about it - and less of it is bad.

Watch it move - updates weekly

The numbers above are a snapshot from the date on this post. The graph below is different: it re-draws itself straight from our platform every time a fresh weekly scan lands, so you can watch whether the models ever catch up to Murphy's real-world run. One datapoint today; a trend over time.

A headline vs a recommendation

The volume gap is only half of it. The two brands live in different corners of the web. Guinness surfaces as a news entity: the BBC, CNN and The Guardian account for a big slice of its mentions, much of it the rationing-crisis and recall coverage. Murphy's is word-of-mouth: Reddit, Facebook and retail sites like TotalWine. Guinness is something the press writes about; Murphy's is something drinkers and shops recommend.

Guinness - top sources
Reddit63
Twitter24
BBC21
guinness.com16
The Guardian16
CNN13
Murphy's - top sources
Reddit31
Twitter9
The Guardian9
Facebook8
TotalWine5
BevMo4

The gap between the shelf and the model

There's a lag between what's happening in pubs and what the AI answers reflect. Murphy's is one of the fastest-moving brands in its category in the real world, yet to ChatGPT and friends it's still a footnote to Guinness - mentioned half as often, framed as the alternative rather than the story. For a challenger brand that's the whole opportunity: the models update as the web does, and the brands that show up in the sources LLMs cite are the ones that get recommended — a shift most brands aren't even tracking. The shelf has moved. The model hasn't - yet. The tracker above is how we'll know when it does.

Run a mention scan on your brand

Grounded in Baseline Labs platform data - Guinness scan #363 (template #1185), Murphy's scan #364 (template #1186), save #729. Live trackers refresh weekly via scheduled jobs #307 & #308 (auto-pause after 26 runs). Real-world sales figures from public 2026 trade-press reporting (The Grocer, The Drinks Business, Bar Magazine, Morning Advertiser).

Image (brand-treated from licensed original): Pint of stout by 55belgianbeerfan, CC0, via Wikimedia Commons.

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